A Robust Vehicle Tracking Approach using Mean Shift Procedure

摘要：

Object tracking using vision technology is one of the key but complex functions in navigation system of Intelligent Vehicles; it became more difficult in case of there are partial occlusions and significant clutter. A mean shift embedded approach is presents for vehicle tracking under real road scenes. The HSI model and orientation histogram are used to represent the object feature; the mean shift is employed to fast searching the mode of the potential object in a neighborhood of current frame. Experimental results demonstrate that the proposed approach is robust and validate in complicated real scenes.

作者: SHEN Huan LI Shun Ming MAO Jian Guo BO Fang Chao LI Fang Pei ZHOU Hua Peng

作者单位: Nanjing University of Aeronautics & Astronautics,Nanjing 210016,P.R.China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 741-744

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）